Results 1 to 10 of about 20,533 (189)

DeepMatch: Toward Lightweight in Point Cloud Registration [PDF]

Frontiers in Neurorobotics, 2022
From source to target, point cloud registration solves for a rigid body transformation that aligns the two point clouds. IterativeClosest Point (ICP) and other traditional algorithms require a long registration time and are prone to fall into local ...
Lizhe Qi, Lizhe Qi, Fuwang Wu, Fuwang Wu, Zuhao Ge, Zuhao Ge, Yuquan Sun, Yuquan Sun   +7 more
doaj   +2 more sources

VPRNet: Virtual Points Registration Network for Partial-to-Partial Point Cloud Registration

Remote Sensing, 2022
With the development of high-precision and high-frame-rate scanning technology, we can quickly obtain scan data of various large-scale scenes. As a manifestation of information fusion, point cloud registration is of great significance in various fields ...
Shikun Li, Yang Ye, Jianya Liu, Liang Guo   +3 more
doaj   +2 more sources

Colored Point Cloud Registration by Depth Filtering [PDF]

Sensors, 2021
In the last stage of colored point cloud registration, depth measurement errors hinder the achievement of accurate and visually plausible alignments. Recently, an algorithm has been proposed to extend the Iterative Closest Point (ICP) algorithm to refine
Ouk Choi, Wonjun Hwang
doaj   +3 more sources

A BRIEF OVERVIEW OF THE CURRENT STATE, CHALLENGING ISSUES AND FUTURE DIRECTIONS OF POINT CLOUD REGISTRATION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Point cloud registration is the process of transforming multiple point clouds obtained at different locations of the same scene into a common coordinate system, forming an integrated dataset representing the scene surveyed.
N. Brightman, L. Fan
doaj   +1 more source

Self-Supervised Point Set Local Descriptors for Point Cloud Registration

Sensors, 2021
Descriptors play an important role in point cloud registration. The current state-of-the-art resorts to the high regression capability of deep learning. However, recent deep learning-based descriptors require different levels of annotation and selection ...
Yijun Yuan, Dorit Borrmann, Jiawei Hou, Yuexin Ma, Andreas Nüchter, Sören Schwertfeger   +5 more
doaj   +1 more source

Automatic marker-free registration of single tree point-cloud data based on rotating projection

Artificial Intelligence in Agriculture, 2022
Point-cloud data acquired using a terrestrial laser scanner play an important role in digital forestry research. Multiple scans are generally used to overcome occlusion effects and obtain complete tree structural information.
Xiuxian Xu, Pei Wang, Xiaozheng Gan, Jingqian Sun, Yaxin Li, Li Zhang, Qing Zhang, Mei Zhou, Yinghui Zhao, Xinwei Li   +9 more
doaj   +1 more source

A Speedy Point Cloud Registration Method Based on Region Feature Extraction in Intelligent Driving Scene

Sensors, 2023
The challenges of point cloud registration in intelligent vehicle driving lie in the large scale, complex distribution, high noise, and strong sparsity of lidar point cloud data.
Deli Yan, Weiwang Wang, Shaohua Li, Pengyue Sun, Weiqi Duan, Sixuan Liu   +5 more
doaj   +1 more source

Point Cloud Registration Based on Multiparameter Functional

Mathematics, 2021
The registration of point clouds in a three-dimensional space is an important task in many areas of computer vision, including robotics and autonomous driving.
Artyom Makovetskii, Sergei Voronin, Vitaly Kober, Aleksei Voronin   +3 more
doaj   +1 more source

Iterative K-Closest Point Algorithms for Colored Point Cloud Registration

Sensors, 2020
We present two algorithms for aligning two colored point clouds. The two algorithms are designed to minimize a probabilistic cost based on the color-supported soft matching of points in a point cloud to their K-closest points in the other point cloud ...
Ouk Choi, Min-Gyu Park, Youngbae Hwang
doaj   +1 more source

Disordered Multi-view Registration Method Based on the Soft Trimmed Deep Network [PDF]

Journal of Geodesy and Geoinformation Science, 2023
Compared with the pair-wise registration of point clouds, multi-view point cloud registration is much less studied. In this dissertation, a disordered multi-view point cloud registration method based on the soft trimmed deep network is proposed.
Rui GUO, Yuanlong SONG, Zhengyao WANG
doaj   +1 more source